• DocumentCode
    3366649
  • Title

    Greedy routing in wireless mesh network: Performance and analysis

  • Author

    Liu, Hao ; Vainstein, Feodor

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA
  • fYear
    2009
  • fDate
    26-29 March 2009
  • Firstpage
    797
  • Lastpage
    802
  • Abstract
    Uniform random network (URN) is perhaps the most basic and generic model of complex networks. In a URN, each node links to exactly k other nodes which are randomly chosen from the entire network with equal probability. With such a simple topology assumption, URN is suitable for modeling homogeneous wireless mesh networks. However, compared to inhomogeneous networks like small world or power-law network, the routing performance of URNs has been less investigated. For small world, it is widely known that a message can be expected to reach its destination through averagely 6 hops. But how many hops for URNs? In this paper, we try to evaluate the performance of URN routing through discrete-event simulation, which reveals two interesting and surprising findings: (1) most routings in URNs end up with incorrect destinations after one or two hops; (2) given a key, the diversity of all possible routing results closely approximates to N/k, where N is the network size and k is the outgoing degree. Tuning of these two parameters does not change above observations.
  • Keywords
    discrete event simulation; probability; radio networks; telecommunication network routing; telecommunication network topology; discrete-event simulation; generic model; greedy routing; performance evaluation; power-law network; probability; small world network; topology assumption; uniform random network; wireless mesh network; Performance analysis; Routing; Wireless mesh networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking, Sensing and Control, 2009. ICNSC '09. International Conference on
  • Conference_Location
    Okayama
  • Print_ISBN
    978-1-4244-3491-6
  • Electronic_ISBN
    978-1-4244-3492-3
  • Type

    conf

  • DOI
    10.1109/ICNSC.2009.4919381
  • Filename
    4919381